POWER CALCULATIONS
Below are listed power calculations for all primary and secondary outcomes
Spot sign positive Spot sign negative
Primary continuous
outcome Approximate number of patients available:
54 (27 in each allocation group). We have assumed that 10% will have missing day-2 CTC.
We assume that the absolute haematoma expansion volume within each group is normally distributed with a standard deviation of 17 mL. We also assume that the true mean difference is 14 mL.[1]
Probability of rejecting the null hypothesis (power) .844.
Approximate number of patients available:
162 (81 in each allocation group). We have assumed that 10% will have missing day-2 CTC.
We assume that the absolute haematoma expansion volume within each group is normally distributed with a standard deviation of 8 mL. We also assume that the true mean difference is 2 mL.[1]
Probability of rejecting the null hypothesis (power) .351.
Secondary composite
binary outcome Approximate number of patients available:
60 (30 in each allocation group).
We assume an event-rate in the control- population of 50%.[2] We also assume a RRR of 40%.
Probability of rejecting the null hypothesis (power) .349.
Approximate number of patients available:
180 (90 in each allocation group).
We assume an event-rate in the control- population of 10%.[2] We also assume a RRR of 40%.
Probability of rejecting the null hypothesis (power) .167
Serious adverse events
within the first 7 days Approximate number of patients available:
60 (30 in each allocation group).
We assume an event-rate in the control population of 50%. We also assume a RRI of 20%.
Probability of rejecting the null hypothesis (power) .120.
Approximate number of patients available:
180 (90 in each allocation group).
We assume an event-rate in the control population of 50%. We also assume a RRI of 20%.
Probability of rejecting the null hypothesis (power) .270.
Safety outcome within the
first 90 days Approximate number of patients available:
60 (30 in each allocation group).
We assume an event-rate in the control population of 50%. We also assume a RRI of 20%.
Probability of rejecting the null hypothesis (power) .120.
Approximate number of patients available:
180 (90 in each allocation group).
We assume an event-rate in the control population of 30%. We also assume a RRI of 20%.
Probability of rejecting the null hypothesis (power) .137.
Thromboembolic events
within the first 90 days Approximate number of patients available:
60 (30 in each allocation group).
We assume an event-rate in the control population of 10%.[3] We also assume a RRI of 20%.
Approximate number of patients available:
180 (90 in each allocation group).
We assume an event-rate in the control population of 10%.[3] We also assume a RRI of 20%.
Probability of rejecting the null
hypothesis (power) .057. Probability of rejecting the null hypothesis (power) .071.
90-day functional outcome (modified Rankin Scale) - dichotomised
Approximate number of patients available:
60 (30 in each allocation group).
We assume an event-rate in the control- population of 70%. [4,5] We also assume a RRR of 20%.
Probability of rejecting the null hypothesis (power) .200
Approximate number of patients available:
180 (90 in each allocation group).
We assume an event-rate in the control- population of 50%. [4,5] We also assume a RRR of 20%.
Probability of rejecting the null hypothesis (power) .270.
90-day functional outcome (Barthel index) -
continuous
As no previous study using the CTA-based spot sign has published data on Barthel- index, reliable power-calculation could not be conducted.
As no previous study using the CTA-based spot sign has published data on Barthel- index, reliable power-calculation could not be conducted.
90-day survival outcome Approximate number of patients available:
60 (30 in each allocation group). We estimate an accrual interval of 1 time units and additional follow-up after the accrual interval of 89 time units.
In a previous study, the median survival time on the control treatment was
approximately (extrapolated[6]) 174.9 time units.[2]
We assume a true hazard ratio of control subjects relative to experimental subjects is 0.8,
Probability of rejecting the null hypothesis (power) .078.
Approximate number of patients available:
180 (90 in each allocation group). We estimate an accrual interval of 1 time units and additional follow-up after the accrual interval of 89 time units.
In a previous study, the median survival time on the control treatment was approximately (extrapolated[6]) 384.0 time units.[2]
We assume a true hazard ratio of control subjects relative to experimental subjects is 0.8,
Probability of rejecting the null hypothesis (power) .093.